| Gradient descent algorithms for Bures-Wasserstein barycenters S Chewi, T Maunu, P Rigollet, AJ Stromme Conference on Learning Theory 2020 125, 1276-1304, 2020 | 12 | 2020 |
| Exponential ergodicity of mirror-Langevin diffusions S Chewi, TL Gouic, C Lu, T Maunu, P Rigollet, A Stromme arXiv preprint arXiv:2005.09669, 2020 | 3 | 2020 |
| SVGD as a kernelized Wasserstein gradient flow of the chi-squared divergence S Chewi, TL Gouic, C Lu, T Maunu, P Rigollet arXiv preprint arXiv:2006.02509, 2020 | 2 | 2020 |
| Efficient constrained sampling via the mirror-Langevin algorithm K Ahn, S Chewi arXiv preprint arXiv:2010.16212, 2020 | 1 | 2020 |
| Matching observations to distributions: efficient estimation via sparsified Hungarian algorithm S Chewi, F Yang, A Ghosh, A Parekh, K Ramchandran 2019 57th Annual Allerton Conference on Communication, Control, and …, 2019 | 1 | 2019 |
| A combinatorial proof of a formula of Biane and Chapuy S Chewi, V Anantharam The Electronic Journal of Combinatorics 25 (1), 12, 2018 | 1 | 2018 |
| Optimal dimension dependence of the Metropolis-Adjusted Langevin Algorithm S Chewi, C Lu, K Ahn, X Cheng, TL Gouic, P Rigollet arXiv preprint arXiv:2012.12810, 2020 | | 2020 |
| Fast and Smooth Interpolation on Wasserstein Space S Chewi, J Clancy, TL Gouic, P Rigollet, G Stepaniants, AJ Stromme arXiv preprint arXiv:2010.12101, 2020 | | 2020 |
